Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost
Due to the spectrum varying nature of cognitive radio networks, secondary users are required to perform spectrum handoffs when the spectrum is occupied by primary users, which will lead to a handoff delay. In this paper, based on the multi-armed bandit framework of medium access in decentralized cog...
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doaj-dc56e6253840412eacb939c2c9932dae2020-11-25T00:59:09ZengMDPI AGFuture Internet1999-59032017-03-01921010.3390/fi9020010fi9020010Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff CostYongqun Chen0Huaibei Zhou1Ruoshan Kong2Li Zhu3Huaqing Mao4School of Physics and Technology, Wuhan University, Wuhan 430072, ChinaInternational School of Software, Wuhan University, Wuhan 430072, ChinaInternational School of Software, Wuhan University, Wuhan 430072, ChinaOujiang College, Wenzhou University, Chashan University Town, Wenzhou 325035, ChinaOujiang College, Wenzhou University, Chashan University Town, Wenzhou 325035, ChinaDue to the spectrum varying nature of cognitive radio networks, secondary users are required to perform spectrum handoffs when the spectrum is occupied by primary users, which will lead to a handoff delay. In this paper, based on the multi-armed bandit framework of medium access in decentralized cognitive radio networks, we investigate blind spectrum selection problem of secondary users whose sensing ability of cognitive radio is limited and the channel statistics are a priori unknown, taking the handoff delay as a fixed handoff cost into consideration. In this scenario, secondary users have to make the choice of either staying foregoing spectrum with low availability or handing off to another spectrum with higher availability. We model the problem and investigate the performance of three representative policies, i.e., ρPRE, SL(K), kth-UCB1. The simulation results show that, despite the inclusion of the fixed handoff cost, these policies achieve the same asymptotic performance as that without handoff cost. Moreover, through comparison of these policies, we found the kth-UCB1 policy has better overall performance.http://www.mdpi.com/1999-5903/9/2/10cognitive radio networksopportunistic spectrum accessmulti-armed bandithandoff costdistributed algorithms |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yongqun Chen Huaibei Zhou Ruoshan Kong Li Zhu Huaqing Mao |
spellingShingle |
Yongqun Chen Huaibei Zhou Ruoshan Kong Li Zhu Huaqing Mao Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost Future Internet cognitive radio networks opportunistic spectrum access multi-armed bandit handoff cost distributed algorithms |
author_facet |
Yongqun Chen Huaibei Zhou Ruoshan Kong Li Zhu Huaqing Mao |
author_sort |
Yongqun Chen |
title |
Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost |
title_short |
Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost |
title_full |
Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost |
title_fullStr |
Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost |
title_full_unstemmed |
Decentralized Blind Spectrum Selection in Cognitive Radio Networks Considering Handoff Cost |
title_sort |
decentralized blind spectrum selection in cognitive radio networks considering handoff cost |
publisher |
MDPI AG |
series |
Future Internet |
issn |
1999-5903 |
publishDate |
2017-03-01 |
description |
Due to the spectrum varying nature of cognitive radio networks, secondary users are required to perform spectrum handoffs when the spectrum is occupied by primary users, which will lead to a handoff delay. In this paper, based on the multi-armed bandit framework of medium access in decentralized cognitive radio networks, we investigate blind spectrum selection problem of secondary users whose sensing ability of cognitive radio is limited and the channel statistics are a priori unknown, taking the handoff delay as a fixed handoff cost into consideration. In this scenario, secondary users have to make the choice of either staying foregoing spectrum with low availability or handing off to another spectrum with higher availability. We model the problem and investigate the performance of three representative policies, i.e., ρPRE, SL(K), kth-UCB1. The simulation results show that, despite the inclusion of the fixed handoff cost, these policies achieve the same asymptotic performance as that without handoff cost. Moreover, through comparison of these policies, we found the kth-UCB1 policy has better overall performance. |
topic |
cognitive radio networks opportunistic spectrum access multi-armed bandit handoff cost distributed algorithms |
url |
http://www.mdpi.com/1999-5903/9/2/10 |
work_keys_str_mv |
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